Remote Sensing Dataset on Object Detection 遥感目标检测数据集 1. DOTA (HBB+OBB) Homepage: https://captain-whu.github.io/DOTA/index.html Download: https://captain-whu.github.io/DOTA/dataset.html Paper: https://ieeexplore.ieee.org/abstract/document/9560031 https://openaccess.thecvf.com/conte...
NWPU-RESISC45 Dataset, is a publicly available benchmark for REmote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU). This dataset contains 31,500 images, covering 45 scene classes with 700 images in each class. EuroSAT (RGB color space images)...
3. LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation Page:https://github.com/Junjue-Wang/LoveDA Download:https://zenodo.org/records/5706578 Paper:https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/4e732ced3463d06de0ca9a15b6153677-Paper-round...
reflectance in the NIR is due to scattering of the light in the intercellular volume of the leaves'mesophyll. At wavelengths longer than 1300nm, watervapour absorption rises very steeply and the reflectance beyond 2500nm is minimal. Water absorption bands are mostly noted at around 760, 970, ...
[NIPS2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation 近期在做一些遥感分割数据集调研,学习一下数据集文章的写作思路,在此做一些记录。 Introduction 随着社会和经济的不断发展,人类的生活环境逐渐分化,可分为城市区和农村区[8]。高空间分辨率(HSR)遥感技术可以帮助...
The SpaceNet partners also launched a series of public prize competitions to encourage improvement of remote sensing machine learning algorithms. The first two of these competitions focused on automated building footprint extraction, and the most recent challenge focused on road network extraction. In ...
ramosissima using UAV remote sensing images obtained over southern Luntai County, Xinjiang Uygur Autonomous Region as the experimental dataset along with high-resolution QuickBird satellite images. The UAV images suffered from an adjustment problem when capturing the images. Therefore, a part of the ...
There are six classes in the dataset (impervious surface, building, low vegetation, tree, car, background). The images are cropped to 400*400 pixels, and 6750 patches for training and 1800 patches for testing are acquired. The CCF BDCI 2020 remote sensing image dataset (abbreviated as BDCI ...
Cancel Create saved search Sign in Sign up Reseting focus {{ message }} isaaccorley / torchrs Public Notifications You must be signed in to change notification settings Fork 50 Star 375 PyTorch implementation of popular datasets and models in remote sensing License MIT license ...
Note that the land-cover maps are RGB images in the original SECOND dataset for visualization, you need to transform them into single-channel. Also, the binary change maps should be generated by yourself and put them into folder [GT_CD]....